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Fuzzy inference optimization algorithms for enhancing the modelling accuracy of wastewater quality parameters.

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第一作者： Taher,Abunama

第一单位： Institute for Water and Wastewater Technology, Durban University of Technology, Durban, PO Box, 1334, South Africa. Electronic address: tahera@dut.ac.za.

作者： Taher,Abunama ^[1] ; Mozafar,Ansari ^[2] ; Oluyemi Olatunji,Awolusi ^[3] ; Khalid Muzamil,Gani ^[4] ; Sheena,Kumari ^[5] ; Faizal,Bux ^[6]

作者单位： Institute for Water and Wastewater Technology, Durban University of Technology, Durban, PO Box, 1334, South Africa. Electronic address: tahera@dut.ac.za. ^[1] Department of Civil Engineering, University of Malaya, Kuala Lumpur, Malaysia. Electronic address: m.ansari@siswa.um.edu.my. ^[2] Institute for Water and Wastewater Technology, Durban University of Technology, Durban, PO Box, 1334, South Africa. Electronic address: oluyemiawolusi@gmail.com. ^[3] Institute for Water and Wastewater Technology, Durban University of Technology, Durban, PO Box, 1334, South Africa. Electronic address: khalidmzml@gmail.com. ^[4] Institute for Water and Wastewater Technology, Durban University of Technology, Durban, PO Box, 1334, South Africa. Electronic address: sheenak1@dut.ac.za. ^[5] Institute for Water and Wastewater Technology, Durban University of Technology, Durban, PO Box, 1334, South Africa. Electronic address: faizalb@dut.ac.za. ^[6]

关键词 Fuzzy inference systems (FIS)Genetic algorithm (GA)Hybrid PSO-GA Mutating invasive weed optimization (M-IWO)Particle swarm optimization (PSO)Wastewater treatment plant (WWTP) modelling

医学主题词算法(Algorithms);杂草(Plant Weeds);南非(South Africa)

DOI 10.1016/j.jenvman.2021.112862

PMID 34049159

发布时间 2022-12-07

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